Comparison

Dagster vs dlt

On the evidence we track, Dagster leads this comparison with a composite score of 70/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
★Dagster70
dlt65
Score
vioscaleAI score
Dagster70 / 100medium · 68%
dlt65 / 100low · 46%
Pricing
Free tier
Dagster✓
dlt✓
Model
Price level
Dagsterlow
dlthigh
Starting price
Dagster$10
Transparent
Dagster✓
dlt✓
Integrations
Count
Dagster28
Reliability
Status page
Dagster–
dlt✓
Adoption
Dependent repos
Dagster286
dlt23
Github stars
Dagster16,269
Package downloads weekly
Dagster2,028,283
dlt–
Activity
Commits last 30d
Dagster100
dlt36
Release
Cadence days
Dagster7
dlt12
History
License
Spdx
Language
Primary
DagsterPython
Content
Faq
Dagster8 items

Capabilities

Feature-by-feature on the axes that matter for data engineering tools. “-” means undocumented, not absent.

Core
Tool role
DagsterOrchestrator
dltELT / ingestion
Processing paradigm
DagsterBatch
dltBatch + streaming
Connectivity
Connector count
Dagster28+
dlt5,000+
CDC / log-based replication
Dagster✗
dlt✓
Transformation
In-warehouse transformation (push-down)
Dagster✗
dlt✓
dbt-native orchestration
Dagster✓
dlt✓
Deployment
Self-hosted / open-source available
Dagster✓
dlt✓
Managed cloud available
Dagster✓
dlt✓
Governance
Data lineage / asset catalog
Dagster✓
dlt✓
Authoring
Python-first authoring
Dagster✓
dlt✓
Execution
Incremental / partition-aware runs
Dagster✓
dlt✓
Quality
Built-in data quality / tests
Dagster✓
dlt✓
Scale
Horizontal scale (distributed executor)
Dagster✓
dlt-

What each one is

The product in its own terms, so the numbers below have context.

Dagster

Leader

An orchestration and observability platform that models data assets, manages their dependencies, and integrates lineage tracking, quality monitoring, and data cataloging for managing pipelines from development to production.

Independently observed

dlt

A managed platform that enables teams to build, deploy, and monitor data pipelines with AI assistance, built on the open-source dlt library. It provides runtime management, observability, data quality monitoring, and team collaboration features for moving data from any source to any destination.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Dagster

Leader
from $10/moHybridFree tier30-day trial

From $10/month. Free 30-day trial. Subscription plus metered usage model.

  • Solo$10/month + $0.04/credit + $0.01/minute serverless compute
    • Core and asset-based orchestration
    • Local development (dg CLI)
    • Partitions and backfills
    • Branch deployments
    • Asset checks
    • +3 more
  • Starter$100/month + $0.035/credit
    • All Solo features
    • Workflow-based orchestration
    • Freshness policies
    • Data column lineage
    • BI tool integration
    • +5 more
  • ProContact sales
    • All Starter features
    • Custom serverless compute
    • Cost tracking and insights
    • Personalized onboarding support
    • Private Slack channel
    • +8 more
as of verify ↗

dlt

from $12000/moHybridFree tier14-day trial

Free open-source tier. Hub plan from $12,000/month with 5,000 included credits. Tiered overage pricing. 14-day free trial.

  • dltFree
    • Open source ingestion library
    • Reliable ingestion and loading
    • Limited verified OSS connectors
    • AI help and community support
  • Hub$12,000/month with 5,000 credits included. Tiered overage pricing: $1.00–$0.80 per credit depending on volume.
    • Everything in dlt
    • AI Harness (Claude Code, Codex, Cursor)
    • Managed runtime for ingestion
    • Transformations & Data apps
    • Data quality metrics & checks
    • +18 more
  • EnterpriseContact sales
    • Custom credits and volume pricing
    • Enterprise security and governance controls
    • Role-based access control (RBAC) and audit logs
    • SLA and tailored support options
    • Custom onboarding and architecture guidance
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Dagster✓
dlt✓
CLI
Dagster✓
dlt✓
Deployment
Cloud / SaaS
Dagster✓
dlt✓
Self-hosted
Dagster✓
dlt✓
On-premise
Dagster✓
dlt✗
Hybrid
Dagster✓
dlt✓

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (7)
  • Snowflake
  • Databricks
  • Slack
  • Salesforce
  • Clickhouse
  • SFTP
  • Airflow

Dagster

Leader
39 total - 32 not shared
  • dbt
  • Spark
  • Azure
  • AWS
  • Airbyte
  • Tableau
  • Soda
  • Microsoft Teams
  • PagerDuty
  • Datadog
  • Python
  • dbt Cloud
  • Fivetran
  • AWS S3
  • AWS Redshift
  • AWS EMR
  • AWS Glue
  • AWS Athena
  • AWS CloudWatch
  • Looker
  • Power BI
  • Sigma
  • Ray
  • lakeFS
  • +8 more
Independently observed

dlt

46 total - 39 not shared
  • PostgreSQL
  • HubSpot
  • BigQuery
  • MotherDuck
  • DuckDB
  • SQLite
  • MySQL
  • Amazon S3
  • Google Cloud Storage
  • Microsoft Azure
  • Parquet
  • Apache Delta
  • Apache Iceberg
  • DuckLake
  • Pydantic Logfire
  • Arize
  • Langfuse
  • LangChain
  • OpenAI
  • Apache Airflow
  • Dagster
  • AWS Lambda
  • Marimo
  • Hugging Face
  • +15 more
Independently observed
Still deciding?

Dagster or dlt: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.